[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-jiuwenclaw-self-evolving-ai-agent-zh":3,"tags-jiuwenclaw-self-evolving-ai-agent-zh":34,"related-lang-jiuwenclaw-self-evolving-ai-agent-zh":47,"related-posts-jiuwenclaw-self-evolving-ai-agent-zh":51,"series-ai-agent-861de027-0f65-46a8-a161-1909fdd712c0":88},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":22,"translated_content":10,"views":23,"is_premium":24,"created_at":25,"updated_at":25,"cover_image":11,"published_at":26,"rewrite_status":27,"rewrite_error":10,"rewritten_from_id":28,"slug":29,"category":30,"related_article_id":31,"status":32,"google_indexed_at":33,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":24},"861de027-0f65-46a8-a161-1909fdd712c0","JiuwenClaw 主打會自我進化的 AI Agent","\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.openjiuwen.com\u002F\" target=\"_blank\" rel=\"noopener\">openJiuwen\u003C\u002Fa> 最近丟出 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FopenJiuwen-ai\u002Fjiuwenclaw\" target=\"_blank\" rel=\"noopener\">JiuwenClaw\u003C\u002Fa>。它不是來陪聊的。它的目標很直接：任務做到一半改需求，還能接著做完。\u003C\u002Fp>\u003Cp>這點很現實。很多 AI A\u003Ca href=\"\u002Fnews\u002Fai-agents-trust-control-security-tools-zh\">gent\u003C\u002Fa> 在 demo 很漂亮。可是一旦你改順序、改格式、補一個步驟，它就開始亂掉。Jiuwen\u003Ca href=\"\u002Fnews\u002Fclaude-code-setup-guide-researchers-zh\">Cla\u003C\u002Fa>w 想處理的，就是這種真實工作場景。\u003C\u002Fp>\u003Cp>openJiuwen 也把重點放得很明白。它要的是任務完成率，不是聊天氣氛。這種路線很硬派，也很像真正做軟體的人會想要的東西。\u003C\u002Fp>\u003Ch2>它到底想修什麼問題\u003C\u002Fh2>\u003Cp>很多 Agent 的問題，不是看不懂指令。是流程一變，它就忘了自己做到哪。你叫它整理資料，接著又要去重，再補摘要，最後改成表格，它就像重開機一樣。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058622350-fjn4.png\" alt=\"JiuwenClaw 主打會自我進化的 AI Agent\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>JiuwenClaw 的做法比較務實。它把任務狀態攤開來，允許中途插入、重排、刪除步驟。講白了，它把使用者改需求當成流程的一部分，不是當成新工作。\u003C\u002Fp>\u003Cp>這種設計在辦公自動化很重要。因為真實世界不是考卷。真實世界會有人臨時改格式，也會有人突然說「先不要這段，先做那段」。\u003C\u002Fp>\u003Cul>\u003Cli>支援任務中斷、插入、重排、刪除\u003C\u002Fli>\u003Cli>三層記憶：身份、長期背景、動態軌跡\u003C\u002Fli>\u003Cli>會壓縮上下文，減少無用資訊\u003C\u002Fli>\u003Cli>可接管本機瀏覽器，保留 cookie 和登入狀態\u003C\u002Fli>\u003C\u002Ful>\u003Cp>最後那點很實用。很多瀏覽器 Agent 都跑在乾淨沙盒裡。看起來整齊，實際上很假。因為真工作都在登入狀態裡。\u003C\u002Fp>\u003Cp>你平常開著的瀏覽器，裡面有 cookie、快取、帳號、權限。這些髒東西，才是自動化最常撞到的地方。JiuwenClaw 想直接進到這個環境裡做事。\u003C\u002Fp>\u003Cp>這也解釋了它的定位。它不是只會回答問題的 LLM。它更像一個會進站、會操作、會收尾的執行器。\u003C\u002Fp>\u003Ch2>自我進化是它真正的賭注\u003C\u002Fh2>\u003Cp>JiuwenClaw 最有意思的地方，不是它會呼叫工具。這種事，現在很多系統都會。真正有差的是，它想從失敗裡學東西。\u003C\u002Fp>\u003Cp>openJiuwen 的說法很清楚。流程是執行、失敗、學習、優化、再執行。意思就是，工具呼叫錯了，或使用者罵一句，不是結束。系統要把這些當成資料。\u003C\u002Fp>\u003Cp>這裡的想法很簡單，但落地不簡單。靜態 Agent 只能照原本的設定走。自我進化的 Agent，則想在每次出錯後調整行為。這在多步驟工作裡很有價值。\u003C\u002Fp>\u003Cblockquote>“The future is already here — it’s just not very evenly distributed.” — William Gibson\u003C\u002Fblockquote>\u003Cp>這句話放在這裡很貼。自我修正的 Agent，大家都會講。可是真正能在日常工作跑起來的，沒幾個。JiuwenClaw 想把這件事做得更具體。\u003C\u002Fp>\u003Cp>如果這套迴圈真的穩，它會改變使用方式。你不一定要一次下完超精準提示。你只要給短修正，讓系統下次做得更好。\u003C\u002Fp>\u003Cp>說真的，這比「會聊天」實際多了。因為大部分工作，本來就不是一次講完。\u003C\u002Fp>\u003Ch2>跟其他 Agent 比，差在哪\u003C\u002Fh2>\u003Cp>現在看 Agent，重點不是誰講話最像人。重點是誰真的能把事做完。這一點上，JiuwenClaw 的方向很明顯。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058643342-zfkd.png\" alt=\"JiuwenClaw 主打會自我進化的 AI Agent\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-chatgpt-agent\u002F\" target=\"_blank\" rel=\"noopener\">OpenAI ChatGPT Agent\u003C\u002Fa> 和 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-code\" target=\"_blank\" rel=\"noopener\">Anthropic Claude Code\u003C\u002Fa> 都在推工具使用和長流程。但 JiuwenClaw 更偏向任務連續性、本機環境接管、以及失敗後學習。它比較像操作層，不像聊天產品。\u003C\u002Fp>\u003Cp>這種差異很重要。因為很多 Agent 的問題不是不聰明，而是太容易斷線。你一改需求，它就像沒聽到一樣重來一次。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>任務連續性：\u003C\u002Fstrong>支援中斷與重排，不把修改當新任務\u003C\u002Fli>\u003Cli>\u003Cstrong>記憶設計：\u003C\u002Fstrong>三層記憶適合長流程，不只短對話\u003C\u002Fli>\u003Cli>\u003Cstrong>真實瀏覽器狀態：\u003C\u002Fstrong>可接管本機 profile，少掉重登與驗證卡關\u003C\u002Fli>\u003Cli>\u003Cstrong>學習迴圈：\u003C\u002Fstrong>會把失敗和修正拿去做下一輪優化\u003C\u002Fli>\u003C\u002Ful>\u003Cp>它還提到可整合 \u003Ca href=\"https:\u002F\u002Fwww.telegram.org\u002F\" target=\"_blank\" rel=\"noopener\">Telegram\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.whatsapp.com\u002F\" target=\"_blank\" rel=\"noopener\">WhatsApp\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.larksuite.com\u002Fen_us\" target=\"_blank\" rel=\"noopener\">Lark\u003C\u002Fa>，還有網頁介面。對企業來說，這比單純做一個漂亮 demo 有用多了。\u003C\u002Fp>\u003Cp>因為企業要的是接進現有工作流。不是再多開一個工具分頁。這也是很多 Agent 產品卡住的地方。\u003C\u002Fp>\u003Cp>如果只看概念，大家都差不多。真的拉開差距的，是它能不能在登入網站、內部系統、長任務裡撐住。\u003C\u002Fp>\u003Ch2>為什麼開發者會在意\u003C\u002Fh2>\u003Cp>JiuwenClaw 讓討論焦點換了一個。不是「模型懂不懂我」。而是「流程改了，它還能不能繼續做」。這才是開發者真正會遇到的問題。\u003C\u002Fp>\u003Cp>如果它的自我進化迴圈能穩定運作，這會很適合內部工具、客服流程、內容整理、表單處理，還有各種瀏覽器自動化場景。這些工作都很煩，但很值錢。\u003C\u002Fp>\u003Cp>我覺得這類產品的競爭點，接下來會很清楚。不是誰講得最像 AGI。是誰的任務完成率高，誰比較少在半路翻車。\u003C\u002Fp>\u003Cp>對台灣開發者來說，這也很實際。很多公司都在做 RPA、內部後台、客服系統、資料整理。這些場景碰到的不是單輪問答，而是長流程和例外狀況。\u003C\u002Fp>\u003Cp>如果一個 Agent 能處理 80% 標準流程，再把 20% 例外留給人接手，價值就已經很高。因為省下來的不是一點點時間，是整個團隊的重工成本。\u003C\u002Fp>\u003Ch2>它背後的產業脈絡\u003C\u002Fh2>\u003Cp>現在的 AI Agent 市場，很像大家都在補同一個洞。模型越來越強，工具也越來越多，但「把事情做完」這件事還是常常失敗。原因很簡單，真實工作有狀態、有例外、有登入、有中斷。\u003C\u002Fp>\u003Cp>所以你會看到很多團隊開始重視 memory、browser c\u003Ca href=\"\u002Fnews\u002Fthe-consortium-dc-urban-health-washington-dc-zh\">on\u003C\u002Fa>trol、workflow orchestration。這不是潮流話術。這是因為單純的 LLM 回答，已經不夠用了。\u003C\u002Fp>\u003Cp>JiuwenClaw 的位置，剛好踩在這條線上。它把記憶、狀態、瀏覽器、學習迴圈放在一起。這種組合，比單純把 Chat UI 包一層工具更接近實務。\u003C\u002Fp>\u003Cp>而且這也反映一個很現實的趨勢。企業不太想把核心流程交給只會對話的系統。它們要的是可追蹤、可重跑、可修正的軟體。\u003C\u002Fp>\u003Cp>所以接下來，Agent 產品比的會是工程細節。像是狀態管理、權限處理、失敗回復、記憶壓縮，還有本機環境整合。這些都很土，但很重要。\u003C\u002Fp>\u003Ch2>我會怎麼看這個方向\u003C\u002Fh2>\u003Cp>JiuwenClaw 不是那種一眼就很炫的東西。它比較像一個很務實的賭注。賭的是：大家最後要的不是會講話的 AI，而是會收尾的 AI。\u003C\u002Fp>\u003Cp>如果你是開發者，我會建議你拿它去打幾個很髒的流程。像是登入後網站、要改三次格式的報表、或做到一半被插單的任務。這些地方最容易看出真功夫。\u003C\u002Fp>\u003Cp>我預測接下來 12 個月，Agent 產品會往「任務完成率」靠攏。誰能在變更需求後還把工作做完，誰就比較有機會進企業環境。你會想先看漂亮 demo，還是先看它能不能在真實瀏覽器裡活下來？\u003C\u002Fp>","openJiuwen 推出 JiuwenClaw，主打任務完成、記憶與自我修正。它想解決 AI Agent 一改需求就失手的老問題，直接在真實瀏覽器環境裡把工作做完。","www.marktechpost.com","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F03\u002F27\u002Fopenjiuwen-community-releases-jiuwenclaw-a-self-evolving-ai-agent-for-task-management\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058622350-fjn4.png",[13,14,15,16,17,18,19,20,21],"AI Agent","自我進化","任務完成","瀏覽器自動化","記憶系統","openJiuwen","JiuwenClaw","Claude Code","ChatGPT Agent","zh",2,false,"2026-04-01T13:30:30.882888+00:00","2026-04-01T13:30:30.814+00:00","done","bc0fc062-cce0-461b-b7da-9a6188d0e904","jiuwenclaw-self-evolving-ai-agent-zh","ai-agent","14bc87cf-954d-4672-9576-c8add7ef069b","published","2026-04-09T09:00:53.01+00:00",[35,36,37,39,40,42,44,45],{"name":17,"slug":17},{"name":16,"slug":16},{"name":19,"slug":38},"jiuwenclaw",{"name":15,"slug":15},{"name":20,"slug":41},"claude-code",{"name":18,"slug":43},"openjiuwen",{"name":14,"slug":14},{"name":46,"slug":30},"AI agent",{"id":31,"slug":48,"title":49,"language":50},"jiuwenclaw-self-evolving-ai-agent-en","JiuwenClaw Bets on Self-Evolving AI Agents","en",[52,58,64,70,76,82],{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":30},"38406a12-f833-4c69-ae22-99c31f03dd52","switch-ai-outputs-markdown-to-html-zh","怎麼把 AI 輸出改成 HTML","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778743243861-8901.png","2026-05-14T07:20:21.545364+00:00",{"id":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":30},"c7c69fe4-97e3-4edf-a9d6-a79d0c4495b4","anthropic-cat-wu-proactive-ai-assistants-zh","Cat Wu 談 Claude 的主動式 AI","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778735455993-gnw7.png","2026-05-14T05:10:30.453046+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"category":30},"e1d6acda-fa49-4514-aa75-709504be9f93","how-to-run-hermes-agent-on-discord-zh","如何在 Discord 執行 Hermes Agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778724655796-cjul.png","2026-05-14T02:10:34.362605+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":30},"4104fa5f-d95f-45c5-9032-99416cf0365c","why-ragflow-is-the-right-open-source-rag-engine-to-self-host-zh","為什麼 RAGFlow 是最適合自架的開源 RAG 引擎","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778674262278-1630.png","2026-05-13T12:10:23.762632+00:00",{"id":77,"slug":78,"title":79,"cover_image":80,"image_url":80,"created_at":81,"category":30},"7095f05c-34f5-469f-a044-2525d2010ce9","how-to-add-temporal-rag-in-production-zh","如何在正式環境加入 Temporal RAG","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778667053844-osvs.png","2026-05-13T10:10:30.930982+00:00",{"id":83,"slug":84,"title":85,"cover_image":86,"image_url":86,"created_at":87,"category":30},"10479c95-53c6-4723-9aaa-2fde5fb19ee7","github-agentic-workflows-ai-github-actions-zh","GitHub 把 AI 代理放進 Actions","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778551884342-8io7.png","2026-05-12T02:11:02.069769+00:00",[89,94,99,104,109,114,119,124,129,134],{"id":90,"slug":91,"title":92,"created_at":93},"4ae1e197-1d3d-4233-8733-eafe9cb6438b","claude-now-uses-your-pc-to-finish-tasks-zh","Claude 開始幫你操作電腦","2026-03-26T07:20:48.457387+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"5bede67f-e21c-413d-9ab8-54a3c3d26227","googles-2026-ai-agent-report-decoded-zh","Google 2026 AI Agent 報告解讀","2026-03-26T11:15:22.651956+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"2987d097-563f-46c7-b76f-b558d8ef7c2b","kimi-k25-review-stronger-still-not-legend-zh","Kimi K2.5 評測：更強，但還不是神作","2026-03-27T07:15:55.277513+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"95c9053b-e3f4-4cb5-aace-5c54f4c9e044","claude-code-controls-mac-desktop-zh","Claude Code 也能操控 Mac 了","2026-03-28T03:01:58.58121+00:00",{"id":110,"slug":111,"title":112,"created_at":113},"dc58e153-e3a8-4c06-9b96-1aa64eabbf5f","cloudflare-100x-faster-ai-agent-sandbox-zh","Cloudflare 的 AI 沙箱跑超快","2026-03-28T03:09:44.142236+00:00",{"id":115,"slug":116,"title":117,"created_at":118},"1c8afc56-253f-47a2-979f-1065ff072f2a","openai-backs-isara-agent-swarm-bet-zh","OpenAI 挺 Isara 的 agent swarm …","2026-03-28T03:15:27.513155+00:00",{"id":120,"slug":121,"title":122,"created_at":123},"7379b422-576e-45df-ad5a-d57a0d9dd467","openai-plan-automated-ai-researcher-zh","OpenAI 想做自動化 AI 研究員","2026-03-28T03:17:42.090548+00:00",{"id":125,"slug":126,"title":127,"created_at":128},"48c9889e-86df-450b-a356-e4a4b7c83c5b","harness-engineering-ai-agent-reliability-2026-zh","駕馭工程：從「馬具」到「作業系統」，AI Agent 可靠性的終極密碼","2026-03-31T06:42:53.556721+00:00",{"id":130,"slug":131,"title":132,"created_at":133},"e41546b8-ba9e-455f-9159-88d4614ad711","openai-codex-plugin-claude-code-zh","OpenAI 把 Codex 放進 Claude Code","2026-04-01T09:21:54.687617+00:00",{"id":135,"slug":136,"title":137,"created_at":138},"96d8e8c8-1edd-475d-9145-b1e7a1b02b65","mcp-explained-from-prompts-to-production-zh","MCP 怎麼把提示詞變工作流","2026-04-01T09:24:39.321274+00:00"]